[code-reflection] RFR: [hat] ComputeRange and ThreadMesh API for defining 1D, 2D and 3D Ranges [v2]

duke duke at openjdk.org
Fri Aug 8 07:58:37 UTC 2025


On Thu, 7 Aug 2025 15:32:58 GMT, Juan Fumero <duke at openjdk.org> wrote:

>> This PR proposes an extension of the HAT API to leverage 1D, 2D and 3D ranges for the compute context dispatch. 
>> A `ComputeRange` is an entity that holds global and local thread mesh. In the future, we can add offsets to it. 
>> 
>> Each `ThreadMesh` is a triplet representing the number of threads for x,y, and z dimensions. 
>> 
>> How to dispatch 1D kernels?
>> 
>> 
>> ComputeRange range1D = new ComputeRange(new ThreadMesh(size));
>> cc.dispatchKernel(computeRange,
>>                 kc -> myKernel(...));
>> 
>> 
>> How to dispatch 2D kernels?
>> 
>> 
>> ComputeRange range2D = new ComputeRange(new ThreadMesh(size, size));
>> cc.dispatchKernel(computeRange,
>>                 kc -> my2DKernel(...));
>> 
>> 
>> How to enable local mesh? 
>> 
>> We pass a second parameter to the ComputeRange constructor to define local mesh. If it is not passed, then it is `null` and the HAT runtime can select a default set of values. 
>> 
>> 
>> ComputeRange computeRange = new ComputeRange(
>>         new ThreadMesh(globalSize, globalSize), 
>>         new ThreadMesh(16, 16));
>> cc.dispatchKernel(computeRange,
>>                 kc -> matrixMultiplyKernel2D(kc, matrixA, matrixB, matrixC, globalSize)
>>         );
>> 
>> 
>> In addition, this PR renames the `KernelContext` internal API to map the context ndrange object to native memory to `KernelBufferContext`.
>> 
>> 
>> #### How to check? 
>> 
>> 
>> java @hat/run ffi-opencl matmul 1D
>> java @hat/run ffi-opencl matmul 2D
>> 
>> java @hat/run ffi-cuda matmul 1D
>> java @hat/run ffi-cuda matmul 2D
>
> Juan Fumero has updated the pull request incrementally with one additional commit since the last revision:
> 
>   minor change

@jjfumero 
Your change (at version 51efd2c2085b0ee9a17423258615c5872d75c6fc) is now ready to be sponsored by a Committer.

-------------

PR Comment: https://git.openjdk.org/babylon/pull/515#issuecomment-3166913943


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